chore(version): bump to 0.6.0

- Update project version from 0.4.4 to 0.4.5
- Prepares for the next release with minor updates

.github/workflows/build-and-deploy.yml

@@ -20,11 +20,9 @@ jobs:
           python-version: "3.12"
 
       - name: 🔄 Restore cache
-        uses: https://git.0xmax42.io/actions/cache@v2
+        uses: https://git.0xmax42.io/actions/cache@v1
         with:
-          keys: |
+          key: poetry-v1-${{ runner.os }}-${{ hashFiles('poetry.lock') }}
-            poetry-v1-${{ runner.os }}-${{ hashFiles('poetry.lock') }}
-            poetry-v1-${{ runner.os }}
           paths: |
             ~/.cache/pypoetry
             ~/.cache/pip

poetry.lock

@@ -1,5 +1,17 @@
 # This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand.
 
+[[package]]
+name = "annotated-types"
+version = "0.7.0"
+description = "Reusable constraint types to use with typing.Annotated"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
+    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
+]
+
 [[package]]
 name = "certifi"
 version = "2025.4.26"
@@ -518,6 +530,140 @@ files = [
     {file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"},
 ]
 
+[[package]]
+name = "pydantic"
+version = "2.11.4"
+description = "Data validation using Python type hints"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "pydantic-2.11.4-py3-none-any.whl", hash = "sha256:d9615eaa9ac5a063471da949c8fc16376a84afb5024688b3ff885693506764eb"},
+    {file = "pydantic-2.11.4.tar.gz", hash = "sha256:32738d19d63a226a52eed76645a98ee07c1f410ee41d93b4afbfa85ed8111c2d"},
+]
+
+[package.dependencies]
+annotated-types = ">=0.6.0"
+pydantic-core = "2.33.2"
+typing-extensions = ">=4.12.2"
+typing-inspection = ">=0.4.0"
+
+[package.extras]
+email = ["email-validator (>=2.0.0)"]
+timezone = ["tzdata ; python_version >= \"3.9\" and platform_system == \"Windows\""]
+
+[[package]]
+name = "pydantic-core"
+version = "2.33.2"
+description = "Core functionality for Pydantic validation and serialization"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
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+    {file = "pydantic_core-2.33.2-pp39-pypy39_pp73-musllinux_1_1_armv7l.whl", hash = "sha256:3abcd9392a36025e3bd55f9bd38d908bd17962cc49bc6da8e7e96285336e2bca"},
+    {file = "pydantic_core-2.33.2-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:3a1c81334778f9e3af2f8aeb7a960736e5cab1dfebfb26aabca09afd2906c039"},
+    {file = "pydantic_core-2.33.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:2807668ba86cb38c6817ad9bc66215ab8584d1d304030ce4f0887336f28a5e27"},
+    {file = "pydantic_core-2.33.2.tar.gz", hash = "sha256:7cb8bc3605c29176e1b105350d2e6474142d7c1bd1d9327c4a9bdb46bf827acc"},
+]
+
+[package.dependencies]
+typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
+
 [[package]]
 name = "pygments"
 version = "2.19.1"
@@ -745,6 +891,33 @@ urllib3 = ">=1.26.0"
 [package.extras]
 keyring = ["keyring (>=15.1)"]
 
+[[package]]
+name = "typing-extensions"
+version = "4.13.2"
+description = "Backported and Experimental Type Hints for Python 3.8+"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "typing_extensions-4.13.2-py3-none-any.whl", hash = "sha256:a439e7c04b49fec3e5d3e2beaa21755cadbbdc391694e28ccdd36ca4a1408f8c"},
+    {file = "typing_extensions-4.13.2.tar.gz", hash = "sha256:e6c81219bd689f51865d9e372991c540bda33a0379d5573cddb9a3a23f7caaef"},
+]
+
+[[package]]
+name = "typing-inspection"
+version = "0.4.0"
+description = "Runtime typing introspection tools"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "typing_inspection-0.4.0-py3-none-any.whl", hash = "sha256:50e72559fcd2a6367a19f7a7e610e6afcb9fac940c650290eed893d61386832f"},
+    {file = "typing_inspection-0.4.0.tar.gz", hash = "sha256:9765c87de36671694a67904bf2c96e395be9c6439bb6c87b5142569dcdd65122"},
+]
+
+[package.dependencies]
+typing-extensions = ">=4.12.0"
+
 [[package]]
 name = "urllib3"
 version = "2.4.0"
@@ -766,4 +939,4 @@ zstd = ["zstandard (>=0.18.0)"]
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.12"
-content-hash = "33d6dddddf6b4c9ff020272b1e39c87ac4b85a53683a2929b7e0673ef4a09e0b"
+content-hash = "095dc8efb8ce84ac67e84e537fe81f42eca53375ddcc2bd267be592efb9232cf"

pyproject.toml

@@ -1,12 +1,16 @@
 [project]
 name = "pyvtt"
-version = "0.2.0"
+version = "0.6.0"
 description = "Python Voice to Text + LLMA"
 authors = [{ name = "Max P.", email = "Mail@MPassarello.de" }]
 license = { text = "MIT" }
 readme = "README.md"
 requires-python = ">=3.12"
-dependencies = ["pyqt5 (>=5.15.11,<6.0.0)", "requests (>=2.32.3,<3.0.0)"]
+dependencies = [
+    "pyqt5 (>=5.15.11,<6.0.0)",
+    "requests (>=2.32.3,<3.0.0)",
+    "pydantic (>=2.11.4,<3.0.0)",
+]
 
 [tool.poetry]
 packages = [{ include = "pyvtt", from = "src" }]

pyvtt.settings.sample.json

@@ -2,23 +2,26 @@
     "audio_file": "/tmp/pyvtt_recording.wav",
     "output_file": "/tmp/pyvtt_transcript.txt",
     "whisper_path": "/path/to/whisper-cli",
-    "language": "en",
     "socket_path": "/tmp/pyvtt.sock",
     "ollama_url": "http://localhost",
+    "ollama_path": "/api/chat",
     "ollama_port": 12345,
     "presets": [
         {
             "name": "Default",
             "language": "en",
             "whisper_model": "/path/to/default-whisper-model.bin",
-            "ollama_model": "default-model",
+            "ollama": "disable"
-            "ollama_prompt": "Provide a detailed response to the following text:\n\n"
         },
         {
             "name": "Quick English",
             "whisper_model": "/path/to/quick-whisper-model.bin",
-            "ollama_model": "quick-model",
+            "ollama_model": "gemma3:4b",
-            "ollama_prompt": "Quickly correct the following English text for grammar and punctuation:\n\n"
+            "ollama_context": 131072,
+            "ollama_prompt": [
+                "Quickly correct the following English text for grammar and punctuation:\n",
+                "\n"
+            ]
         },
         {
             "name": "German Correction",

src/pyvtt/configuration.py

@@ -2,9 +2,11 @@ import json
 import os
 from pathlib import Path
 
+from pyvtt.models.config import AppConfig
+
 DEFAULT_CONFIG_PATH = Path.home() / ".pyvtt.json"
 
-def read_configurations():
+def read_configurations() -> AppConfig:
     """
     Reads the configuration settings from a JSON file named 'pyvtt.settings.json' 
     located in the same directory as the script.
@@ -18,7 +20,8 @@ def read_configurations():
     """
     try:
         with open(DEFAULT_CONFIG_PATH) as f:
-            return json.load(f)
+            raw_config =  json.load(f)
+            return AppConfig(**raw_config)
     except Exception as e:
         print(f"Error reading configurations: {e}")
         raise Exception(f"Error reading configurations: {e}")

src/pyvtt/libs/ollama.py

@@ -0,0 +1,103 @@
+import json
+import requests
+from typing import Union, List, Optional
+
+from pyvtt.libs.notify import notify
+from pyvtt.models.config import AppConfig, PresetConfig
+
+
+class OllamaClient:
+    def __init__(self, config: AppConfig):
+        """
+        Initialisiert den API-Client (Ollama oder llama-swap) mit Basis-Konfiguration.
+        """
+        self.base_url = config.ollama_url.rstrip("/")
+        self.port = config.ollama_port
+        self.path = config.ollama_path or "/api/chat"
+        # Falls llama-swap (OpenAI-API-Kompatibel), verwende den OpenAI-Pfad
+        if "v1" in self.path or "completions" in self.path:
+            self.is_llama_swap = True
+        else:
+            self.is_llama_swap = False
+
+    def send_chat(self, user_message: str, config: PresetConfig) -> str:
+        """
+        Sendet eine Chat-Anfrage an Ollama oder llama-swap.
+        """
+        if config.ollama and config.ollama.lower() == "disable":
+            print("[OllamaClient] Ollama ist im Preset deaktiviert.")
+            return user_message
+
+        # Prompt aufbereiten
+        prompt_str = (
+            "\n".join(config.ollama_prompt)
+            if isinstance(config.ollama_prompt, list)
+            else str(config.ollama_prompt)
+        )
+
+        # === Payload vorbereiten ===
+        if self.is_llama_swap:
+            # OpenAI-/llama-swap-kompatibles Format
+            payload = {
+                "model": config.ollama_model,
+                "messages": [
+                    {"role": "system", "content": prompt_str},
+                    {"role": "user", "content": user_message},
+                ],
+                "stream": False,
+            }
+            # Kontextgröße optional hinzufügen
+            if config.ollama_context:
+                payload["num_ctx"] = config.ollama_context
+        else:
+            # Klassisches Ollama-Format
+            payload = {
+                "model": config.ollama_model,
+                "messages": [
+                    {"role": "system", "content": prompt_str},
+                    {"role": "user", "content": user_message},
+                ],
+                "options": (
+                    {"num_ctx": config.ollama_context}
+                    if config.ollama_context
+                    else {}
+                ),
+                "stream": False,
+            }
+
+        endpoint = f"{self.base_url}:{self.port}{self.path}"
+
+        # === Anfrage senden ===
+        try:
+            headers = {"Content-Type": "application/json"}
+            if self.is_llama_swap:
+                headers["Authorization"] = "Bearer no-key"
+
+            response = requests.post(endpoint, headers=headers, data=json.dumps(payload))
+            response.raise_for_status()
+
+            json_response = response.json()
+
+            # === Antwort extrahieren ===
+            if self.is_llama_swap:
+                # OpenAI-kompatible Struktur
+                content = (
+                    json_response.get("choices", [{}])[0]
+                    .get("message", {})
+                    .get("content", "")
+                    .strip()
+                )
+            else:
+                # Ollama-eigene Struktur
+                content = (
+                    json_response.get("message", {})
+                    .get("content", "")
+                    .strip()
+                )
+
+            return "\n".join(line.strip() for line in content.splitlines())
+
+        except requests.exceptions.RequestException as e:
+            print(f"[OllamaClient] HTTP-Fehler: {e}")
+            notify("Fehler", "Kommunikationsfehler mit Ollama / llama-swap!")
+            return ""

src/pyvtt/libs/whisper.py

@@ -0,0 +1,50 @@
+import subprocess
+from typing import Optional
+from pathlib import Path
+
+from pyvtt.libs.notify import notify
+from pyvtt.models.config import AppConfig, PresetConfig
+
+
+class WhisperClient:
+    def __init__(self, config: AppConfig):
+        """
+        Initialisiert den Whisper-Client mit der globalen Anwendungskonfiguration.
+
+        :param config: AppConfig-Instanz mit Pfaden zur Whisper-Binary, Audio- und Ausgabedatei.
+        """
+        self.whisper_path = config.whisper_path
+        self.audio_file = config.audio_file
+        self.output_file = config.output_file
+
+    def transcribe(self, config: PresetConfig) -> str:
+        """
+        Führt Whisper (CLI) zur Transkription der Audiodatei aus und gibt das Transkript zurück.
+
+        :param config: PresetConfig-Instanz mit Whisper-Modell und Spracheinstellungen.
+        :return: Das rohe Transkript als String – oder None bei Fehlern.
+        """
+        output_base = self.output_file.replace(".txt", "")
+        whisper_cmd = [
+            self.whisper_path,
+            "-m", config.whisper_model,
+            "-f", self.audio_file,
+            "-l", config.language,
+            "-otxt",
+            "-of", output_base
+        ]
+
+        try:
+            subprocess.run(whisper_cmd, check=True)
+        except subprocess.CalledProcessError as e:
+            print(f"[WhisperClient] Whisper-Ausführungsfehler: {e}")
+            notify("Fehler", "Ein Fehler mit 'Whisper' ist aufgetreten!")
+            return ""
+
+        try:
+            with open(self.output_file, "r", encoding="utf-8") as f:
+                return "\n".join(line.strip() for line in f.readlines())
+        except Exception as e:
+            print(f"[WhisperClient] Fehler beim Einlesen der Ausgabedatei: {e}")
+            notify("Fehler", "Ein Fehler beim Lesen der Whisper-Ausgabe ist aufgetreten!")
+            return ""

src/pyvtt/models/config.py

@@ -0,0 +1,26 @@
+from typing import List, Optional, Union
+from pydantic import BaseModel, HttpUrl, Field
+
+
+class PresetConfig(BaseModel):
+    name: str
+    language: str
+    whisper_model: str
+    ollama: Optional[str] = None
+    ollama_model: Optional[str] = None
+    ollama_context: Optional[int] = None
+    ollama_prompt: Optional[Union[str, List[str]]] = None
+    mode: Optional[str] = None
+    journal_name: Optional[str] = None
+
+
+class AppConfig(BaseModel):
+    audio_file: str
+    output_file: str
+    whisper_path: str
+    socket_path: str
+    ollama_url: str
+    ollama_path: str
+    ollama_port: int
+    journal_path: str
+    presets: List[PresetConfig]

src/pyvtt/send_cmd.py

@@ -1,11 +1,13 @@
 import socket
 import sys
 import argparse
-from src.pyvtt.configuration import read_configurations
+from pyvtt.configuration import read_configurations
+from typing import Optional
 
-CONFIGURATION = read_configurations()
+CONFIG = read_configurations()
 
-def send_cmd(cmd: str, socket_path: str):
+
+def send_cmd(cmd: str, socket_path: str, preset: Optional[str] = None) -> None:
     """
     Sends a command to a Unix domain socket server.
 
@@ -26,6 +28,8 @@ def send_cmd(cmd: str, socket_path: str):
         with socket.socket(socket.AF_UNIX, socket.SOCK_STREAM) as client:
             client.settimeout(3)
             client.connect(socket_path)
+            if preset:
+                cmd = f"{cmd}::::{preset}"
             client.sendall(cmd.encode())
     except FileNotFoundError:
         print(f"Error: The socket file '{socket_path}' does not exist.", file=sys.stderr, flush=True)
@@ -47,6 +51,15 @@ def main():
         default="toggle",
         help="The command to send to the server (default: toggle).",
     )
+
+    parser.add_argument(
+        "preset",
+        nargs="?",
+        default=None,
+        help="The preset to use (optional)."
+    )
+        
+
     args = parser.parse_args()
 
-    send_cmd(args.command, CONFIGURATION["socket_path"])
+    send_cmd(args.command, CONFIG.socket_path, args.preset)

src/pyvtt/voice_to_text_tray.py

@@ -1,3 +1,4 @@
+import datetime
 import sys
 import subprocess
 import os
@@ -8,11 +9,13 @@ import requests
 from PyQt5.QtWidgets import QApplication, QSystemTrayIcon, QMenu, QAction
 from PyQt5.QtGui import QIcon
 from PyQt5.QtCore import QThread, pyqtSignal
-from src.pyvtt.configuration import read_configurations
+from pyvtt.configuration import read_configurations
-from pyvtt.notify import notify, play_sound
+from pyvtt.libs.notify import notify, play_sound
+from pyvtt.libs.ollama import OllamaClient
+from pyvtt.libs.whisper import WhisperClient
 
-CONFIGURATION = read_configurations()
+CONFIG = read_configurations()
-CURRENT_PRESET = CONFIGURATION["presets"][0]  # Default to first preset
+CURRENT_PRESET = CONFIG.presets[0]  # Default to first preset
 
 class WhisperWorker(QThread):
     """
@@ -30,71 +33,41 @@ class WhisperWorker(QThread):
     """
     finished = pyqtSignal(str)
 
+    def __init__(self):
+        super().__init__()
+        self.whisper = WhisperClient(CONFIG)
+        self.ollama = OllamaClient(CONFIG)
+
     def run(self):
-        try:
+        CURENT_CONFIG_LOCALE = CONFIG
-            # Whisper ausführen
+        CURRENT_PRESET_LOCALE = CURRENT_PRESET
-            whisper_cmd = [
-                CONFIGURATION["whisper_path"],
-                "-m", CURRENT_PRESET["whisper_model"],
-                "-f", CONFIGURATION["audio_file"],
-                "-l", CURRENT_PRESET["language"],
-                "-otxt",
-                "-of", CONFIGURATION["output_file"].replace(".txt", "")
-            ]
-            try:
-                subprocess.run(whisper_cmd, check=True)
-            except subprocess.CalledProcessError as e:
-                print(f"Whisper Fehler: {e}")
-                notify("Fehler", "Ein Fehler mit 'Whisper' ist aufgetreten!")
-                return
 
         try:
-                with open(CONFIGURATION["output_file"], "r") as f:
+            raw_result = self.whisper.transcribe(CURRENT_PRESET_LOCALE)
-                    raw_result = "\n".join(line.strip() for line in f.readlines())
+            formatted_result = self.ollama.send_chat(raw_result, CURRENT_PRESET_LOCALE)
-            except Exception as e:
-                print(f"Datei Fehler: {e}")
-                notify("Fehler", "Ein Fehler beim Lesen der Whisper-Ausgabe ist aufgetreten!")
-                return
-            
-            print("Whisper Transkript erhalten.")
-
-            # --- An Ollama schicken ---
-            if CURRENT_PRESET["ollama"] != "disable":
-                if isinstance(CURRENT_PRESET["ollama_prompt"], list):
-                    prompt = "\n".join(CURRENT_PRESET["ollama_prompt"])
-                else:
-                    prompt = CURRENT_PRESET["ollama_prompt"]
-                
-                payload = {
-                    "model": CURRENT_PRESET["ollama_model"],
-                    "messages": [
-                        {"role": "system", "content": prompt},
-                        {"role": "user", "content": raw_result}
-                    ],
-                    "options": {
-                        "num_ctx": CURRENT_PRESET["ollama_context"]
-                    },
-                    "stream": False
-                }
-                ollama_endpoint = f"{CONFIGURATION['ollama_url']}:{CONFIGURATION['ollama_port']}/api/chat"
-                response = requests.post(ollama_endpoint, json=payload)
-
-                try:
-                    response.raise_for_status()
-                except requests.exceptions.HTTPError as e:
-                    print(f"HTTP Fehler: {e}")
-                    notify("Fehler", "Ein Fehler bei der Kommunikation mit 'Ollama' ist aufgetreten!")
-                    return
-
-                json_response = response.json()
-                formatted_result = json_response.get("message", {}).get("content", "").strip()
-                formatted_result = "\n".join(line.strip() for line in formatted_result.splitlines())
-                print("Ollama Antwort erhalten.")
-            else:
-                formatted_result = raw_result
-                print("Kein Ollama Prompt angegeben, nur Whisper Ergebnis verwendet.")
 
             # Ergebnis ins Clipboard kopieren
+            if CURRENT_PRESET_LOCALE.mode == "journal":
+                today = datetime.date.today().strftime("%Y.%m.%d")
+                journal_path = os.path.join(CURENT_CONFIG_LOCALE.journal_path, f"{today} - {CURRENT_PRESET_LOCALE.journal_name}.md")
+                now = datetime.datetime.now().strftime("%H:%M")
+                if not os.path.exists(journal_path):
+                    try:
+                        with open(journal_path, "w") as f:
+                            f.write(f"# {CURRENT_PRESET_LOCALE.journal_name} - {today}\n\n")
+                    except Exception as e:
+                        print(f"Journal Erstellungsfehler: {e}")
+                        notify("Fehler", "Ein Fehler beim Erstellen des Journals ist aufgetreten!")
+                        return
+                try:
+                    with open(journal_path, "a") as f:
+                        f.write(f"## {now} Uhr\n")
+                        f.write(f"{formatted_result}\n\n")
+                except Exception as e:
+                    print(f"Journal Fehler: {e}")
+                    notify("Fehler", "Ein Fehler beim Schreiben ins Journal ist aufgetreten!")
+                    return
+            else:
                 try:
                     subprocess.run(["wl-copy"], input=formatted_result.encode(), check=True)
                 except subprocess.CalledProcessError as e:
@@ -132,11 +105,11 @@ class SocketListener(threading.Thread):
     def __init__(self, tray_app):
         super().__init__(daemon=True)
         self.tray_app = tray_app
-        if os.path.exists(CONFIGURATION["socket_path"]):
+        if os.path.exists(CONFIG.socket_path):
-            os.remove(CONFIGURATION["socket_path"])
+            os.remove(CONFIG.socket_path)
         self.sock = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM)
-        self.sock.bind(CONFIGURATION["socket_path"])
+        self.sock.bind(CONFIG.socket_path)
-        os.chmod(CONFIGURATION["socket_path"], 0o666)
+        os.chmod(CONFIG.socket_path, 0o666)
         self.sock.listen(1)
 
     def run(self):
@@ -144,6 +117,15 @@ class SocketListener(threading.Thread):
             conn, _ = self.sock.accept()
             with conn:
                 data = conn.recv(1024).decode().strip()
+                if data:
+                    cmd = data.split("::::")
+                    if len(cmd) > 1:
+                        data = cmd[0]
+                        preset = cmd[1]
+                        if preset in [p.name for p in CONFIG.presets]:
+                            self.tray_app.set_preset([p.name for p in CONFIG.presets].index(preset))
+                    else:
+                        data = cmd[0]
                 if data == "toggle":
                     self.tray_app.toggle_recording()
                 elif data == "start":
@@ -190,8 +172,8 @@ class TrayApp:
         # Preset Menü
         self.preset_actions = []
         self.preset_group = QMenu("Presets")
-        for i, preset in enumerate(CONFIGURATION["presets"]):
+        for i, preset in enumerate(CONFIG.presets):
-            action = QAction(preset["name"], self.menu)
+            action = QAction(preset.name, self.menu)
             action.setCheckable(True)
             if i == 0:
                 action.setChecked(True)
@@ -221,8 +203,9 @@ class TrayApp:
 
     def set_preset(self, index):
         global CURRENT_PRESET
-        print(f"Preset gewechselt: {CONFIGURATION['presets'][index]['name']}")
+        selected_preset = CONFIG.presets[index]
-        CURRENT_PRESET = CONFIGURATION["presets"][index]
+        print(f"Preset gewechselt: {selected_preset.name}")
+        CURRENT_PRESET = selected_preset
         # Nur einer darf gecheckt sein
         for i, action in enumerate(self.preset_actions):
             action.setChecked(i == index)
@@ -232,7 +215,7 @@ class TrayApp:
             print("Starte Aufnahme...")
             self.recording_process = subprocess.Popen([
                 "ffmpeg", "-f", "pulse", "-i", "default", "-ar", "16000",
-                "-ac", "1", CONFIGURATION["audio_file"], "-y", "-loglevel", "quiet"
+                "-ac", "1", CONFIG.audio_file, "-y", "-loglevel", "quiet"
             ])
             notify("Aufnahme", "Aufnahme gestartet!")
 
@@ -260,15 +243,15 @@ class TrayApp:
         print(f"Fertig:\n{text}")
 
     def reload_configurations(self):
-        global CONFIGURATION, CURRENT_PRESET
+        global CONFIG, CURRENT_PRESET
         print("Lade Einstellungen neu...")
-        CONFIGURATION = read_configurations()
+        CONFIG = read_configurations()
-        CURRENT_PRESET = CONFIGURATION["presets"][0]  # Default to first preset
+        CURRENT_PRESET = CONFIG.presets[0]  # Default to first preset
         # Update preset menu
         self.preset_group.clear()
         self.preset_actions = []
-        for i, preset in enumerate(CONFIGURATION["presets"]):
+        for i, preset in enumerate(CONFIG.presets):
-            action = QAction(preset["name"], self.menu)
+            action = QAction(preset.name, self.menu)
             action.setCheckable(True)
             if i == 0:
                 action.setChecked(True)
@@ -278,8 +261,8 @@ class TrayApp:
         print("Einstellungen erfolgreich neu geladen.")
 
     def cleanup(self):
-        if os.path.exists(CONFIGURATION["socket_path"]):
+        if os.path.exists(CONFIG.socket_path):
-            os.remove(CONFIGURATION["socket_path"])
+            os.remove(CONFIG.socket_path)
         print("Socket sauber entfernt.")
 
     def run(self):